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In the generalized Roy model, the marginal treatment effect (MTE) can be used as a building block for constructing conventional causal parameters such as the average treatment effect (ATE) and the average treatment effect on the treated (ATT). Given a treatment selection equation and an outcome equation, the function mte() estimates the MTE via the semiparametric local instrumental variables method or the normal selection model. The function mte_at() evaluates MTE at different values of the latent resistance u with a given X = x, and the function mte_tilde_at() evaluates MTE projected onto the estimated propensity score. The function ace() estimates population-level average causal effects such as ATE, ATT, or the marginal policy relevant treatment effect.
| Version: | 0.3.1 |
| Depends: | R (≥ 3.3.0) |
| Imports: | KernSmooth (≥ 2.5.0), mgcv (≥ 1.8-19), rlang (≥ 0.4.4), sampleSelection (≥ 1.2-0), stats |
| Suggests: | dplyr, ggplot2, tidyr |
| Published: | 2020-06-26 |
| Author: | Xiang Zhou [aut, cre] |
| Maintainer: | Xiang Zhou <xiang_zhou at fas.harvard.edu> |
| BugReports: | https://github.com/xiangzhou09/localIV |
| License: | GPL (≥ 3) |
| URL: | https://github.com/xiangzhou09/localIV |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | localIV results |
| Reference manual: | localIV.pdf |
| Package source: | localIV_0.3.1.tar.gz |
| Windows binaries: | r-devel: localIV_0.3.1.zip, r-release: localIV_0.3.1.zip, r-oldrel: localIV_0.3.1.zip |
| macOS binaries: | r-release (arm64): localIV_0.3.1.tgz, r-oldrel (arm64): localIV_0.3.1.tgz, r-release (x86_64): localIV_0.3.1.tgz, r-oldrel (x86_64): localIV_0.3.1.tgz |
| Old sources: | localIV archive |
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These binaries (installable software) and packages are in development.
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